👋 Hi, I'm Pavan Pandya! I’m currently pursuing my Master’s in Computer Science at Indiana University Bloomington, expected to graduate in May 2025. Currently, I’m actively seeking full-time opportunities as a Software Engineer or Machine Learning Engineer starting in June 2025.
I’m someone who believes in the power of teamwork and genuine connections. I value building trust through ownership, reliability, and open collaboration. People who know me would describe me as curious, persistent, and always eager to learn and grow. I’m the kind of person who doesn’t shy away from challenges, whether they’re big or small. I take pride in working alongside others to tackle complex problems, always with the mindset that we can achieve so much more when we work together. In my free time, I love experimenting in the kitchen or taking long walks to unwind and gather fresh ideas. At the end of the day, I believe that success is about the journey and the people you share it with.
- Languages: Python, C/C++, JavaScript
- Web Technologies: HTML, CSS, React, Node.js, Express.js, Django, Flask
- Data Science & Machine Learning: PyTorch, TensorFlow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, Huggingface, Langchain
- Databases: PostgreSQL, MySQL, SQLite, MongoDB, Redis, Cassandra, DynamoDB
- Tools & Platforms: Git, GitHub, Docker, AWS, Kubernetes, Vercel, Postman, Swagger, Tableau, Streamlit, Selenium
- Optimized NSFW Content Detection for Real-Time Moderation: Developed a ResNet18-based model using quantization for NSFW content detection, achieving 95.1% accuracy & reducing the model size by 75% for real-time moderation on resource-constrained devices.
- Kidney Disease Classification: Developed and fine-tuned a ResNet50 model to classify kidney diseases, demonstrating the full data science lifecycle, from EDA to model deployment, evaluation, and testing using MLflow, DVC, Docker, and GitHub Actions.
- Quizify – Full Stack Quiz AI Application: Developed and deployed an AI-powered quiz platform with dynamic question generation, real-time gameplay, user authentication, and theme toggling, enhancing the user experience.
- MediLink – Patient & Insurance Management System: Built a platform that enables the patients to book appointments, purchase insurance, and search for doctors by name, specialty, or location. Doctors can manage their schedules and access patient data, while insurance providers can view sales and offer policies. Integrated secure features like OTP authentication, email confirmations, and a seamless CI/CD deployment pipeline.
- Sales & Customer Data Analysis Dashboard: Created Tableau dashboards for sales and customer analysis, utilizing SQL and ETL processes to enhance data-driven decision-making.
- Unveiling Trends – A Cloud-Driven Project: Developed a custom scraper to collect YouTube metadata and created interactive QuickSight dashboards for trend analysis and business insights.
- ICPC Regional, Purdue University: Competed in the Programming Contest, demonstrating problem-solving and teamwork.
- Runner-Up, Luddy Hackathon Third Edition: Developed a solution for a Point of Contact problem statement provided by ServiceNow.
- Winner, IBM Hack Challenge 2021 – Team AgriOracle: Led a team to build a machine learning model predicting the best crop based on soil and temperature conditions.
- Team Lead, Postman API Fest: Led a team to develop an innovative API solution, fostering collaboration and technical growth.
- Under Officer, National Cadets Corps (NCC): Led a group of 50 cadets, organized leadership and community service initiatives, and demonstrated strong leadership in one of the world's largest youth organizations.
- Impactful Contributions: Passionate about leveraging my technical skills in Software Engineering and Machine Learning to drive innovation and make a meaningful impact in teams.
- Growth & Learning: Committed to continuous learning and staying at the forefront of AI/ML advancements, particularly in areas like deep learning and computer vision.
Let’s collaborate and create something amazing together!! 😎🌍